ACM Transactions on Graphics (TOG)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
3D model search and retrieval using the spherical trace transform
EURASIP Journal on Applied Signal Processing
A New Shape Benchmark for 3D Object Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Graphical Models
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
International Journal of Computer Vision
A 3D Shape Retrieval Framework Supporting Multimodal Queries
International Journal of Computer Vision
Distance metric learning and feature combination for shape-based 3D model retrieval
Proceedings of the ACM workshop on 3D object retrieval
SHREC'09 track: generic shape retrieval
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Graph-based combinations of fragment descriptors for improved 3D Object Retrieval
Proceedings of the 3rd Multimedia Systems Conference
SHREC'12 track: generic 3D shape retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
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In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC'11) track on generic shape retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate on arbitrary 3D models. The benchmark dataset consists of 1000 3D objects classified in 50 categories. The 3D models are mainly classified based on visual shape similarity and each class has equal number of models to reduce the possible bias in evaluation results. Two groups have participated in the track with six methods in total.